I am a second year MPH candidate at Columbia University’s Mailman School of Public Health, in the Department of Population and Family Health wtih a certificate in Global Health. Prior to Columbia, I attended Scripps College in Claremont, CA where I graduated with a dual Bachelor’s degree in Biology and Dance in 2019.
As a graduate Teaching Assistant at Columbia University’s Mailman School of Public Health, I developed and adapted content for the Global and Developmental Perspectives module within the first-year Core curriculum. I created interactive Rise content to better engage students with asynchronous lectures, developed in-class activities for remote learning, and assisted with forming various assessment materials throughout the Lifecourse module of the Global and Developmental Perspectives curriculum. I have also worked extensively with students to ensure smooth adjustment to and success in an extremely rigorous academic curriculum.
I am currently working with Dr. Emma Sacks at the Johns Hopkins Bloomberg School of Public Health to co-author a qualitative literature review on demographic indicators for traditional postpartum confinement practices among women in China and Vietnam.
At Columbia, I am also currently working on a project with Dr. Melissa Stockwell to gather more information about patients’ experience with telelactation consulting as part of a multi-department telehealth initiative at New York Presbyterian.
From 2017-2019, I co-authored an abstract and wrote a thesis on the validation and use of Beam Balance tasks as a measure of dynamic balance in collegiate Ballet and Bharatanatyam dancers. I helped develop, execute, and present this research project with the help of Dr. Kelli Sharp at the University of California, Irvine Claire Trevor School of the Arts.
In 2018, I worked with Dr. Edward Uchio and Phillip Duffy on several clinical trials for kidney, bladder, and prostate cancers. I was primarily responsible for data entry, organization, and analysis for a $1.2 million prostate cancer trial run by the California Initiative to Advance Precision Medicine.
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rnorm(10)## [1] 1.66248883 0.05406405 2.59189700 -1.51364266 0.22687219 -0.70110023
## [7] -0.80225015 -0.48927455 0.17405379 1.16841655